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on the development and application of computational and analytical methods for metaproteomics, including peptide and protein identification, taxonomic and functional profiling, and integration with other omics data
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supervisors, forming a consortium of seven beneficiaries (see above) and fourteen associated partners including six from industry and two start-ups. For more information, please have a look at https
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Applicants must hold a PhD in Analytical Chemistry, Environmental Chemistry, Pharmaceutical Sciences or a related field. Applicants with extensive experience in LC‑HRMS‑based early‑warning monitoring
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, analytic decisions, and data handling procedures. PhD required in a relevant field (e.g., anthropology, sociology, public health, health services research, related social/behavioral sciences) or a discipline
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Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer | Spain | 3 days ago
. Complex data analysis. Other skills: organizational and analytical skills, communication (oral and written) to multiple audiences, ability to work in a team and build effective and trustful collaborations
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FieldPharmacological sciencesYears of Research Experience1 - 4 Research FieldTechnologyYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work
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Statistics-related degrees: BS in Mathematics with a Statistics Emphasis MS in Statistics PhD in Statistical Sciences (with interdisciplinary data analytics focus) We are committed to teaching at all levels
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in statistics, data science, business analytics, sports analytics, operations research, computer science, or a
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administrative claims data Conduct large-scale characterization, comparative effectiveness and safety estimation, and patient-level prediction analyses Develop reproducible analytic pipelines using R and SQL in
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; identify and troubleshoot analytic, scientific, or operational challenges. Lead and oversee data governance and regulatory coordination, including DUAs, MOUs, data sharing agreements, and support for IRB